Data services to make it easy to publish and discover materials data. 🔬🥼💻

Joined May 2022
MaterialsDataFacility retweeted
My team and I just published 10 years of @argonne battery testing data on @DataFacility . 600 Li-ion cells with many chemistries: doi.org/10.18126/fdxq-7yul
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MaterialsDataFacility retweeted
What are the most interesting open datasets you've used in materials science and chemistry? Share them here! We're always looking for more data to work with and share with others 🤓 #data #machinelearning #artificialintelligence #datascience #openscience #MaterialsDataMonth
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MaterialsDataFacility retweeted
Did you know you can create a Google Scholar profile for your research group? While GS is mostly used to track individual metrics, this process allows you to track and highlight team and project metrics. Here's 5 steps to get to this 👇 #AcademicChatter #AcademicTwitter
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MaterialsDataFacility retweeted
Sooo pumped for #MaterialsDataMonth! Follow @BenBlaiszik to keep up! Even if you aren’t a materials scientist, this month will have relevant info for you too. Lots of cool datasets, research, and infrastructure tools! 🤩 #openscience #bigdata #ml #ai
Tomorrow we'll be kicking off a special month of content and community building as part of #MaterialsDataMonth as we ramp up to #MRS2022. During the month, we will showcase 1) just how much impact materials and chemistry data are already having.
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MaterialsDataFacility retweeted
Manual segmentation of X-Ray CT images can take a long time and may be ambiguous. Here, we trained NNs to segment such images automatically. We hope this opens new possibilities to understanding 3D dendritic growth in materials and automating analyses. authors.elsevier.com/a/1fy3Q…
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MaterialsDataFacility retweeted
Data sharing mandates are set to become more strict. But, that doesn't need to cause you trouble. To help you get started, I made a video that shows how you can publish your data in under 1 minute with the Materials Data Facility. @DataFacility youtu.be/Y4dhhda8Kw8
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MaterialsDataFacility retweeted
Replying to @aristana_s
@aristana_s presenting on the new 🌱@NSF Garden project🌱that kicked off last month. Working to make ML models discoverable and usable, and also help people understand applicability. Builds upon funcx, @ParslProject, DLHub, @DataFacility, @globus. @UChicagoCS, @MIT, @UWMadison
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MaterialsDataFacility retweeted
Ok, I'm a little bit excited to see this. 🤩 We can help publish your materials/chemistry data, and we have 100s of TB of free storage to support this. Right now, multi-TB datasets ✅, machine-readable and auto-loadable datasets ✅. Let's go! @DataFacility @WHOSTP
How is the Biden-Harris Admin working to ensure taxpayer-funded research data & publications advance innovation for ALL Americans? Today, @WHOSTP is releasing new guidance to make this research immediately available to the public at no cost. Learn more⤵️ whitehouse.gov/ostp/news-upd…
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MaterialsDataFacility retweeted
For drug discovery we need to understand molecular orientation in 3-dimensions. The GEOM dataset (Simon Axelrod and Rafa Gómez-Bombarelli) contains 37M conformations for >450k molecules - quickly becoming a benchmark in the field of molecular generative modeling. @mit @Harvard
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MaterialsDataFacility retweeted
Just another Tuesday evening publishing 1.4 TB of data from my phone. Will follow up on this great new dataset soon! #ai @globus @DataFacility
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MaterialsDataFacility retweeted
Halfway done with our SAXS experiments @advancedphoton @argonne on #coacervates #LlabLlama thinks synchrotrons are AMAZING!!!
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MaterialsDataFacility retweeted
Join the National Science Data Fabric Webinar (lnkd.in/eXeajSab) on May 26, 12:30pm ET - Our Distinguished Speaker is @ianfoster on A Global Research Data Platform: How Globus Services Enable Scientific Discovery. Zoom: lnkd.in/e8nUEdmb @PascucciValerio @NSF @uusci
MaterialsDataFacility retweeted
For those who missed GlobusWorld, many of the talks are now available online (see video links next to each talk). globusworld.org/conf/program. Amazing work all around, and @DataFacility got some nice call outs across the day!
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MaterialsDataFacility retweeted
More awesome development from @vinayak_bhat_ of OCELOT, working to democratize data, ML, and computational workflows.
Coming soon to OCELOT (oscar.as.uky.edu)... Anyone interested in beta testing? @riskolab
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